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Solving Electric Vehicle Traffic Assignment Problem Considering Time-Dependent Energy Consumption

Niroumand, Ramin | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49286 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Zokaei Ashtiani, Hedayat
  7. Abstract:
  8. Battery Electric vehicles (BEVs) are turning into a more well known type of transportation because of their energy effectiveness, further sustainability, and the arrangement of government support through motivation programs. However, BEVs have a constrained driving range due to their limited battery capacity. This limited battery capacity leads to a fear of exhausting energy in the middle of route which is referred to as range anxiety. The range anxiety affects BEV users’ travel choices such as route choice. Hence, BEV users should consider their vehicles’ remaining range while trying to minimize their travel times. This concern consequently changes the equilibrium flow on the transportation network. The BEVs’ driving range is commonly expressed as a function of traveled distance. Since the length of links are known, the set of feasible paths for BEVs between each OD pair can be determined in advance. Then, solving traffic assignment model over these path sets provides equilibrium flow on the transportation network. However, Former researchs show that BEVs’ driving range not only depends on traveled distance but also depends on traffic condition. They find that BEVs deplete more electricity in traffic congestion, and their electricity usage decreases when their average speed increases. Hence, electricity usage for traversing a link is a function of that link’s distance and traffic flow on the link. As a result, the feasible paths for BEVs between each OD pair can not independently be recognised prior to solving traffic assignment problem. In other words, the feasibility of each path depends on the traffic flow traversing through it. In this thesis, We first show the inadequacies of the model developed by prior researchs through simple examples. Then, we propose a new definition for BEVs’ user equilibrium with flow dependent energy consumption, and two complementary model based on sub-paths penalties and path and sub-path penalties to find such an equilibrium flow. Finally, we present an extended dynamic penalty function method for solving the proposed model
  9. Keywords:
  10. Electrical Vehicle ; Traffic Assignment ; Travel Time ; Energy Consumption ; Time-Dependent Energy Consumption

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